GEEKOM A6
Geekbench ML Score
4125
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | February 10 2025 04:14 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | GEEKOM A6 |
| Motherboard | Default string A6 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 6800H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 512 KB x 8 |
| L3 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1628
304.6 IPS |
|
|
Image Classification (F16)
|
100% |
1648
308.4 IPS |
|
|
Image Classification (I8)
|
100% |
1325
247.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
2598
43.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
2591
43.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
2061
34.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
25675
31.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
26123
31.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
19257
23.3 IPS |
|
|
Object Detection (F32)
|
100% |
1330
99.3 IPS |
|
|
Object Detection (F16)
|
100% |
1338
99.9 IPS |
|
|
Object Detection (I8)
|
62% |
1194
89.1 IPS |
|
|
Face Detection (F32)
|
100% |
3936
46.8 IPS |
|
|
Face Detection (F16)
|
100% |
3955
47.0 IPS |
|
|
Face Detection (I8)
|
89% |
3061
36.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
11016
85.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
10985
85.2 IPS |
|
|
Depth Estimation (I8)
|
94% |
8278
64.2 IPS |
|
|
Style Transfer (F32)
|
100% |
37723
49.6 IPS |
|
|
Style Transfer (F16)
|
100% |
39145
51.5 IPS |
|
|
Style Transfer (I8)
|
98% |
28227
37.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7211
257.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7106
253.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5215
186.3 IPS |
|
|
Text Classification (F32)
|
100% |
1133
1.63 KIPS |
|
|
Text Classification (F16)
|
100% |
1131
1.62 KIPS |
|
|
Text Classification (I8)
|
98% |
786
1.13 KIPS |
|
|
Machine Translation (F32)
|
100% |
1979
36.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1957
36.0 IPS |
|
|
Machine Translation (I8)
|
70% |
1036
19.1 IPS |
